Eddy Ilg

17

Papers

74

Total Citations

Papers (17)

Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation

Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory

EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory

Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields

FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks

DeMoN: Depth and Motion Network for Learning Monocular Stereo

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction

NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning

FlowNet: Learning Optical Flow With Convolutional Networks

SimNP: Learning Self-Similarity Priors Between Neural Points

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Unified Category-Level Object Detection and Pose Estimation from RGB Images using 3D Prototypes

TikZero: Zero-Shot Text-Guided Graphics Program Synthesis

Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos

Recurrent Video Restoration Transformer with Guided Deformable Attention